Dynamic Car-Following Model With Jerk Suppression for Highway Autonomous Driving
This study proposes a dynamic safe car-following strategy that is based on dynamic adjustment of headway time with jerk suppression. Reinforcement learning models trained with this strategy result in enhanced safety and driving comfort, validated using real driving data from the Next Generation Simu...
Saved in:
Main Authors: | Ke Liu, Jing Ma, Edmund M.-K. Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10856099/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transformation of insurance from the aspect of the development of autonomous vehicles
by: Vojvodić-Miljković Nevenka, et al.
Published: (2024-01-01) -
SSRI induced hypnic jerks: A case series
by: Rakesh Kumar, et al.
Published: (2023-07-01) -
An empirical analysis of factors affecting the commercial adoption of autonomous trucks
by: Christopher Mondy, et al.
Published: (2025-01-01) -
STABILITY CONTROL MODELLING UNDER DYNAMIC MOTION SCENARIO OF A DIFFERENTIAL DRIVE ROBOT
by: ADEDOTUN O. OWOJORI, et al.
Published: (2022-01-01) -
Sportsmanlike driving /
Published: (1987)